Fonolo

FEBRUARY 2, 2023

Statistical machine learning This type of automation technology focuses on analyzing and mapping patterns in your customer and data, agent activity, and much more. Using features like sentiment analysis, these tools can make suggestions in real time to your agents so they can provide the best help possible to your callers.

Contact Center 140

Contact Center Sentiment Analysis AI Machine Learning 140

UJET

DECEMBER 17, 2020

Natural language processing (NLP) is a branch of artificial intelligence that uses machine learning algorithms to help computers understand natural human language—not just what people are saying but also what they mean when they say it. There are examples of NLP in nearly every customer service process powered by AI.

E-commerce 72

E-commerce Machine Learning Contact Center Sentiment Analysis 72

UJET

DECEMBER 17, 2020

Natural language processing (NLP) is a branch of artificial intelligence that uses machine learning algorithms to help computers understand natural human language—not just what people are saying but also what they mean when they say it. There are examples of NLP in nearly every customer service process powered by AI.

E-commerce 72

E-commerce Machine Learning Contact Center Sentiment Analysis 72

Logicalware

JULY 26, 2023

Artificial Intelligence (AI) is a field of computer science focused on creating intelligent machines that can learn, reason, and perform tasks like humans. It includes techniques such as machine learning, natural language processing, and computer vision. Google Lens is an example of image recognition.

Artificial Intelligence 52

Artificial Intelligence AI Sentiment Analysis Machine Learning 52

Zendesk

FEBRUARY 27, 2021

Create proposals, quotes, contracts and invoices from leads, companies, people or deals – plus, collect legally binding electronic signatures. Loris CX Software (Support) (Chat) uses machine learning to leverage empathy insights that make agents more human, not less. Loris analyzes and provides insights on every message.

Invoicing 90

Invoicing CRM Sentiment Analysis Omnichannel 90

SurveySensum

MARCH 7, 2025

It uses AI capabilities like NLP and machine learning to analyze, categorize, and interpret vast amounts of text-based healthcare data. Text analytics for health relies on advanced machine learning and NLP techniques such as: Sentiment Analysis: Determines whether patient feedback is positive, negative, or neutral.

Text Analytics 52

Text Analytics Healthcare AI Unstructured Data 52